The paper introduces CIMA, a multi-omics atlas of human immune cells, identifying regulatory mechanisms and genetic associations across sex, age, and genetic factors.

Science · Jan 8, 2026Peer-reviewedImmunology

Efficient reliability analysis of spatially resolved transcriptomics at varying resolutions using SpaSEG

Yong Bai, Xiangyu Guo, Keyin Liu, Bingjie Zheng, Yilin Wei, Yingyue Wang, W H Zhang, Qiuhong Luo, Jianhua Yin, Liang Li Wu, Yuxiang Li, Yong Zhang, Ao Chen, Xiangdong Wang, Xun Xu, , Xin Jin

SpaSEG is a convolutional neural network model for analyzing spatially resolved transcriptomics data, showing superior reliability and efficiency in detecting spatial patterns and intercellular interactions.

Genome biology · Jul 29, 2025Peer-reviewedBioinformatics

Deciphering gene regulatory programs in mouse embryonic skin through single-cell multiomics analysis

Qiuting Deng, Pengfei Cai, Yingjie Luo, Zhongjin Zhang, Wen Ma, Zijie Huang, Xiaoya Chen, Shijie Hao, Weiguang Ma, Jiangshan Xu, Chunqing Wang, Mengnan Cheng, Xiumei Lin, Ru Zhou, Shanshan Duan, , Chuanyu Liu

The paper uses single-cell multiomics to study gene regulatory programs in mouse embryonic skin, identifying cis-regulatory elements and transcription factors involved in development.

Genome biology · Jul 1, 2025Peer-reviewedDevelopmental Biology